Senior Data Engineer
New York City
Applications have closed
Spotify
We grow and develop and make wonderful things happen together every day. It doesn't matter who you are, where you come from, what you look like, or what music you love. Join the band!Spotify is searching for a business-focused data engineer that has a passion for data analysis, designing data architectures and data pipelines. You will be joining a team that is dedicated to supporting the growing ads business within Spotify. Your efforts will not only enable better business decisions for leadership, but they’ll also help scale the impact of our data science work.
What You'll Do
- Build pipelines & datasets that’ll enable our better decision making for the ads business. You’ll also build feature pipelines that’ll funnel data into our ML models.
- Design data models & data architectures for our ads business data ecosystem. This may include ads forecasting algorithms, segmentation analysis.
- Integrate pipelines connecting 3rd party API integrations into our data infrastructure.
- Be self driven and self sufficient to be able to craft, prioritize and drive the data engineering roadmap.
- Scale up the data processing of our machine learning models across machines.
- Work in collaboration with scientists, ML experts and data engineers across Analytics to imagine and build creative solutions to challenging questions, most often with a clear line of sight from your work to real-world impact.
- Monitoring & alerting systems for diagnosing and optimizing production pipeline & algorithm jobs.
Who You Are
- You will be successful in this role if you:
- Have a strong vision of how our data engineering practice could evolve within our ads business to not just support our current needs but also the needs of the business team broadly.
- Have 5+ years of experience as a data engineer or analytics engineer.
- Must be familiar with Python, SQL.
- Experience working as a data engineer embedded on a data science team.
- Experience with data orchestration tools like Flyte, Airflow, Luigi, Flo etc. We use Flyte.
- Know how to work with high volume heterogeneous data, preferably with distributed systems such as Hadoop.
- Have some high-level knowledge of how machine learning algorithms work. Bonus points if you’re familiar with productionisation of ML algorithms.
- Knowledgeable or curious about functional data processing with technologies using Spark, Java, Scala etc.
- Comfortable driving your own roadmap and managing the priorities across different data science teams.
- You are skilled at crafting and building robust distributed Microservices with tools like Docker, Kubernetes, AWS ECS/EKS etc.
- You are proficient in object-oriented and/or functional programming languages: Python, Java/Scala, Chef, Terraform
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.
Tags: Airflow APIs Architecture AWS Data analysis Data pipelines Distributed Systems Docker ECS Engineering Hadoop Java Kubernetes Machine Learning Microservices ML models Pipelines Python Scala Spark SQL Streaming Terraform
Perks/benefits: Career development Flex hours Health care Parental leave Salary bonus
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Data Science Manager jobs
- Open Lead Data Analyst jobs
- Open MLOps Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Engineer II jobs
- Open Data Manager jobs
- Open Sr Data Engineer jobs
- Open Power BI Developer jobs
- Open Principal Data Engineer jobs
- Open Data Analytics Engineer jobs
- Open Business Intelligence Developer jobs
- Open Junior Data Scientist jobs
- Open Data Scientist II jobs
- Open Product Data Analyst jobs
- Open Senior Data Architect jobs
- Open Sr. Data Scientist jobs
- Open Business Data Analyst jobs
- Open Big Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Manager, Data Engineering jobs
- Open Azure Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Data Product Manager jobs
- Open Junior Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open GCP-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Java-related jobs
- Open Privacy-related jobs
- Open Data visualization-related jobs
- Open Finance-related jobs
- Open APIs-related jobs
- Open Deep Learning-related jobs
- Open PyTorch-related jobs
- Open Snowflake-related jobs
- Open Consulting-related jobs
- Open TensorFlow-related jobs
- Open PhD-related jobs
- Open CI/CD-related jobs
- Open NLP-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open Hadoop-related jobs
- Open LLMs-related jobs
- Open Data warehouse-related jobs
- Open Databricks-related jobs